SYSTEM AND METHOD FOR AUTOMATED ANALYSIS OF EMOTIONAL CONTENT OF SPEECH

• US 20110295597A1
• Filed: 05/26/2011
• Published: 12/01/2011
• Est. Priority Date: 05/26/2010
• Status: Abandoned Application

• Current Assignee: Voiceprism Innovations
• Original Assignee: Voiceprism Innovations
• Inventors: Brady, Patrick K.
• Application Number:
  US13/116,720
• Publication Number:
  US 20110295597A1
• Time in Patent Office: Days
• US Class Current: 704/201
• CPC Class Codes: G10L 17/26 Recognition of special voice characteristics, e.g. for use in lie detectors; Recognition of animal voices

Abstract

A method and apparatus for automated analysis of emotional content of speech is presented. Telephony calls are routed via a network such as public service telephone network (PSTN) and delivered to an interactive voice response system (IVR) where prerecorded or synthesized prompts guide a caller to speech responses. Speech responses are analyzed for emotional content in real time or collected via recording and analyzed in batch. If performed in real time, results of emotional content analysis (ECA) may be used as input to IVR call processing and call routing. In some applications this might involve ECA input to expert system process whose results interact with an IVR for prompt creation and call processing. In any case, ECA data is valuable on its own and may be culled and restated in the form of reports for business application.

Claims

1. A system for automated analysis of emotional content of speech, comprising:

an apparatus for receiving and processing audio streams;

an apparatus for storing and playing pre-recorded or synthesized prompts and for storing speech responses;

an apparatus for interconnecting computers; and

an apparatus for performing emotional content analysis.

2. A method for automated analysis of emotional content of speech, comprising the steps of:

(a) routing calls via a network such as a public switched telephony network (PSTN) to an IVR system;

(b) answering calls at the IVR system;

(c) playing one or more audio prompts;

(d) receiving customer speech from callers in response to prompts;

(e) storing the customer speech in one or more data files;

(f) moving the data files in batch mode to a server hosting emotional content analysis software;

(g) analyzing a portion of the customer speech to determine at least emotional content of the customer speech; and

(h) creating reports summarizing results from a plurality of emotional content analyses.